bdrc (version 1.1.0)

spread_draws: Spread MCMC chain draws to data.frame on a wide format

Description

Useful to convert MCMC chain draws of particular parameters or output from the model object to a wide format for further data wrangling

Usage

spread_draws(mod, ..., transformed = FALSE)

Value

Data frame with columns chain

iter

param

value

Arguments

mod

an object of class "plm0","plm","gplm0" or "gplm".

...

any number of character vectors containing valid names of parameters in the model or "rating_curve" and "rating_curve_mean". Also accepts "latent_parameters" and "hyperparameters".

transformed

boolean value determining whether the output is to be represented on the transformed scale used for sampling in the MCMC chain or the original scale. Defaults to FALSE.

References

B. Hrafnkelsson, H. Sigurdarson, S.M. Gardarsson, 2020, Generalization of the power-law rating curve using hydrodynamic theory and Bayesian hierarchical modeling. arXiv preprint 2010.04769

See Also

plm0, plm, gplm0, gplm for further information on parameters

Examples

# \donttest{
data(krokfors)
set.seed(1)
plm0.fit <- plm0(formula=Q~W,data=krokfors,num_cores=2)
hyp_samples <- spread_draws(plm0.fit,'hyperparameters')
head(hyp_samples)
rating_curve_samples <- spread_draws(plm0.fit,'rating_curve','rating_curve_mean')
head(rating_curve_samples)
# }